Nuclear DNA Fragmentation in Boar Spermatozoa: Measurement Methods and Reproductive Performance Implications

Association between sperm DNA fragmentation and fertility parameters in farm animals: a systematic review and meta-analysis

BACKGROUND

Accurately predicting male fertility is crucial for the animal breeding industry due to its significant economic implications. Existing literature suggests that mammalian fertility is partially dependent on sperm DNA integrity. However, routine semen analysis often fails to detect DNA damage and does not consistently correlate with field fertility outcomes. While assessing sperm DNA integrity provides valuable biological insights, its role in diagnosing animal infertility remains uncertain.

RESULTS

This meta-analysis evaluated the association between sperm DNA fragmentation (SDF) and fertility in farm animals. Comprehensive searches were conducted using PubMed, Google Scholar, and Springer Link Library, with results stratified by animal species and SDF detection methods. Across 30 studies, the overall correlation coefficient (COR) between SDF and male fertility was -0.46 (95% confidence interval [CI]: -0.54 to -0.37; Z = -8.97; p < 0.001). A significant association was observed in bulls (COR = -0.47; 95% CI: -0.54 to -0.40; Z = -11.13; p < 0.001) and stallions (COR = -0.54; 95% CI: -0.72 to -0.29; Z = -3.83; p < 0.001), whereas no significant relationship was found in boars (COR = -0.19; 95% CI: -0.37 to 0.01; Z = -1.84; p = 0.07). The effect of SDF on male fertility was analyzed in 15 studies, demonstrating significantly higher SDF values in low-fertility animals compared to high-fertility groups (SMD = 0.85; 95% CI: 0.68 to 1.01; Z = 10.07; p < 0.001). This pattern was observed in both bulls (SMD = 1.21; 95% CI: 0.85 to 1.57; Z = 6.59; p < 0.001) and stallions (SMD = 0.64; 95% CI: 0.44 to 0.85; Z = 6.14; p < 0.001) subgroups.

CONCLUSIONS

These findings suggest that incorporating SDF assays into breeding soundness evaluations could enhance the accuracy of selecting high-quality breeding males for artificial breeding programs. However, further research with adequately powered studies, standardized methodologies, and appropriate sample sizes is necessary to fully elucidate the impact of elevated SDF on fertility in farm animals.

Age-Related Dynamics in the Conventional, Non-Conventional, and Bacteriological Characteristics of Fresh and Liquid-Stored Porcine Semen

This study strove to investigate the effect of boar age on conventional and non-conventional quality traits of fresh and liquid-stored semen. Sixty boars were allocated into 3 groups: 8-12 months (young); 24-36 months (adult); and 48-60 months (senior). Ejaculates were divided into two parts; the first one was assessed in native state while the second one was extended in the Androstar Plus extender containing gentamycin, stored at 5 °C and evaluated following 72 h. Young animals presented with a significantly lower sperm motility (p < 0.01), membrane and acrosome integrity (p < 0.0001), and mitochondrial activity (p < 0.0001) against adult boars. Significantly higher levels of free radicals and tumor necrosis factor alpha (p < 0.001), interleukin 1 and 6 (p < 0.0001) were found in young boars in comparison to adult boars. The assessment of liquid-stored semen revealed a significantly lower sperm motility, membrane, and acrosome integrity (p < 0.0001) in young boars when compared to adult boars. Moreover, Clostridium difficile, Escherichia coli, Pseudomonas aeruginosa, and Rothia nasimurium remained in liquid-stored semen obtained from young boars, while Corynebacterium sp. and Escherichia coli continued to be identified in samples collected from adult boars. In conclusion, age contributes to the overall quality of fresh as well as liquid-stored boar semen.

Application of Flow Cytometry Using Advanced Chromatin Analyses for Assessing Changes in Sperm Structure and DNA Integrity in a Porcine Model

Chromatin status is critical for sperm fertility and reflects spermatogenic success. We tested a multivariate approach for studying pig sperm chromatin structure to capture its complexity with a set of quick and simple techniques, going beyond the usual assessment of DNA damage. Sperm doses from 36 boars (3 ejaculates/boar) were stored at 17 °C and analyzed on days 0 and 11. Analyses were: CASA (motility) and flow cytometry to assess sperm functionality and chromatin structure by SCSA (%DFI, DNA fragmentation; %HDS, chromatin maturity), monobromobimane (mBBr, tiol status/disulfide bridges between protamines), chromomycin A3 (CMA3, protamination), and 8-hydroxy-2'-deoxyguanosine (8-oxo-dG, DNA oxidative damage). Data were analyzed using linear models for the effects of boar and storage, correlations, and multivariate analysis as hierarchical clustering and principal component analysis (PCA). Storage reduced sperm quality parameters, mainly motility, with no critical oxidative stress increases, while chromatin status worsened slightly (%DFI and 8-oxo-dG increased while mBBr MFI-median fluorescence intensity-and disulfide bridge levels decreased). Boar significantly affected most chromatin variables except CMA3; storage also affected most variables except %HDS. At day 0, sperm chromatin variables clustered closely, except for CMA3, and %HDS and 8-oxo-dG correlated with many variables (notably, mBBr). After storage, the relation between %HDS and 8-oxo-dG remained, but correlations among other variables disappeared, and mBBr variables clustered separately. The PCA suggested a considerable influence of mBBr on sample variance, especially regarding storage, with SCSA and 8-oxo-dG affecting between-sample variability. Overall, CMA3 was the least informative, in contrast with results in other species. The combination of DNA fragmentation, DNA oxidation, chromatin compaction, and tiol status seems a good candidate for obtaining a complete picture of pig sperm nucleus status. It raises many questions for future molecular studies and deserves further research to establish its usefulness as a fertility predictor in multivariate models. The usefulness of CMA3 should be clarified.

Sperm chromatin structure assay (SCSA®) and flow cytometry-assisted TUNEL assay provide a concordant assessment of sperm DNA fragmentation as a function of age in a large cohort of approximately 10,000 patients

BACKGROUND

Sperm DNA integrity is increasingly seen as a critical characteristic determining reproductive success, both in natural reproduction and in assisted reproductive technologies (ART). Despite this awareness, sperm DNA and nuclear integrity tests are still not part of routine examinations for either infertile men or fertile men wishing to assess their reproductive capacity. This is not due to the unavailability of DNA and sperm nuclear integrity tests. On the contrary, several relevant but distinct tests are available and have been used in many clinical trials, which has led to conflicting results and confusion. The reasons for this are mainly the lack of standardization between different clinics and between the tests themselves. In addition, the small number of samples analyzed in these trials has often weakened the value of the analyses performed. In the present work, we used a large cohort of semen samples, covering a wide age range, which were simultaneously evaluated for sperm DNA fragmentation (SDF) using two of the most frequently used SDF assays, namely the TUNEL assay and the sperm chromatin structure assay (SCSA®). At the same time, as standard seminal parameters (sperm motility, sperm morphology, sperm count) were available for these samples, correlations between age, SDF and conventional seminal parameters were analyzed.

RESULTS

We show that the SCSA® and TUNEL assessments of SDF produce concordant data. However, the SDF assessed by TUNEL is systematically lower than that assessed by SCSA®. Regardless of the test used, the SDF increases steadily during aging, while the HDS parameter (High DNA stainability assessed via SCSA®) remains unchanged. In the cohort analyzed, conventional sperm parameters do not seem to discriminate with aging. Only sperm volume and motility were significantly lower in the oldest age group analyzed [50-59 years of age].

CONCLUSIONS

In the large cohort analyzed, SDF is an age-dependent parameter, increasing linearly with aging. The SCSA® assessment of SDF and the flow cytometry-assisted TUNEL assessment are well correlated, although TUNEL is less sensitive than SCSA®. This difference in sensitivity should be taken into account in the final assessment of the true level of fragmentation of the sperm nucleus of a given sample. The classical sperm parameters (motility, morphology, sperm count) do not change dramatically with age, making them inadequate to assess the fertility potential of an individual.